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VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING

Abstract: 

In recent years approximate message passing algorithms have gained a lot of attention and different versions have been proposed for coping with various system models. This paper focuses on vector approximate message passing (VAMP) for generalized linear models. While this algorithm is originally derived from a message passing point of view, we will review it from an estimation theory perspective and afterwards adapt it for a quantized compressed sensing application. Finally, numerical results are presented to evaluate the performance of the algorithm.

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Paper Details

Authors:
Daniel Franz, Volker Kuehn
Submitted On:
21 November 2018 - 4:49am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Daniel Franz
Paper Code:
GS-P.6.6
Document Year:
2018
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[1] Daniel Franz, Volker Kuehn, "VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3698. Accessed: May. 26, 2019.
@article{3698-18,
url = {http://sigport.org/3698},
author = {Daniel Franz; Volker Kuehn },
publisher = {IEEE SigPort},
title = {VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING},
year = {2018} }
TY - EJOUR
T1 - VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING
AU - Daniel Franz; Volker Kuehn
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3698
ER -
Daniel Franz, Volker Kuehn. (2018). VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING. IEEE SigPort. http://sigport.org/3698
Daniel Franz, Volker Kuehn, 2018. VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING. Available at: http://sigport.org/3698.
Daniel Franz, Volker Kuehn. (2018). "VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING." Web.
1. Daniel Franz, Volker Kuehn. VECTOR APPROXIMATE MESSAGE PASSING FOR QUANTIZED COMPRESSED SENSING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3698